Mfs Blended Research Fund Three Year Return

Mfs Blended Research fundamentals help investors to digest information that contributes to Mfs Blended's financial success or failures. It also enables traders to predict the movement of Mfs Mutual Fund. The fundamental analysis module provides a way to measure Mfs Blended's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Mfs Blended mutual fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Mfs Blended Research Mutual Fund Three Year Return Analysis

Mfs Blended's Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.

Three Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About Three Year Return | All Equity Analysis

Current Mfs Blended Three Year Return

    
  3.06 %  
Most of Mfs Blended's fundamental indicators, such as Three Year Return, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Mfs Blended Research is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.
Competition

Based on the latest financial disclosure, Mfs Blended Research has a Three Year Return of 3.06%. This is much higher than that of the MFS family and significantly higher than that of the World Large Stock category. The three year return for all United States funds is notably lower than that of the firm.

Mfs Three Year Return Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Mfs Blended's direct or indirect competition against its Three Year Return to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Mfs Blended could also be used in its relative valuation, which is a method of valuing Mfs Blended by comparing valuation metrics of similar companies.
Mfs Blended is currently under evaluation in three year return among similar funds.

Fund Asset Allocation for Mfs Blended

The fund consists of 98.4% investments in stocks, with the rest of investments allocated between different money market instruments.
Asset allocation divides Mfs Blended's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.

Mfs Fundamentals

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Mfs Blended in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Mfs Blended's short interest history, or implied volatility extrapolated from Mfs Blended options trading.

Pair Trading with Mfs Blended

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mfs Blended position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mfs Blended will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Prologis could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Prologis when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Prologis - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Prologis to buy it.
The correlation of Prologis is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Prologis moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Prologis moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Prologis can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in inflation.
You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Other Consideration for investing in Mfs Mutual Fund

If you are still planning to invest in Mfs Blended Research check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Mfs Blended's history and understand the potential risks before investing.
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